Prediction on recommender system based on bi-clustering and moth flame optimization-Reference-Cited by-同舟云学术

Prediction on recommender system based on bi-clustering and moth flame optimization

Published:2022-05 Issue: Volume:120 Page:108626
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Wu Huan-huan,Ke Gang,Wang Yang,Chang Yu-Teng

Publisher

Elsevier BV

Subject

Software

Reference22 articles.

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2. Recommended methods for focusing on long-tail items;Jing;Comput. Appl.,2020

3. Recommendation system based on data analysis-application on tweets sentiment analysis;Nabil,2018

4. Automatic recommendation system based on hybrid filtering algorithm;Sharma;Educ. Inf. Technol.,2021

5. A frequency count approach to multi-criteria recommender system based on criteria weighting using particle swarm optimization;Mohammed;Appl. Soft Comput.,2021

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2. Explainable recommender system directed by reconstructed explanatory factors and multi‐modal matrix factorization;Concurrency and Computation: Practice and Experience;2024-06-19

3. Reinforcement learning driven moth‐flame optimisation algorithm for solving numerical optimisation problems;IET Collaborative Intelligent Manufacturing;2024-05-28

4. Multimodal hierarchical distributed multi-objective moth intelligence algorithm for economic dispatch of power systems;Journal of Cleaner Production;2024-01

5. APMDI-CF: An Effective and Efficient Recommendation Algorithm for Online Users;KSII Transactions on Internet and Information Systems;2023-11-30